Handbook of Blind Source Separation book cover

Handbook of Blind Source Separation

Independent Component Analysis and Applications

Edited by the people who were forerunners in creating the field, together with contributions from 34 leading international experts, this handbook provides the definitive reference on Blind Source Separation, giving a broad and comprehensive description of all the core principles and methods, numerical algorithms and major applications in the fields of telecommunications, biomedical engineering and audio, acoustic and speech processing. Going beyond a machine learning perspective, the book reflects recent results in signal processing and numerical analysis, and includes topics such as optimization criteria, mathematical tools, the design of numerical algorithms, convolutive mixtures, and time frequency approaches. This Handbook is an ideal reference for university researchers, R&D engineers and graduates wishing to learn the core principles, methods, algorithms, and applications of Blind Source Separation.

Signal, acoustic, audio, speech, image processing university (applied) researchers, R&D engineers; Communications engineering researchers and R&D engineers; Biomedical engineering researchers; Chemists carrying out data analysis.

Hardbound, 856 Pages

Published: February 2010

Imprint: Academic Press

ISBN: 978-0-12-374726-6


    1. Introduction -- P. Comon and C. Jutten
    2. Information -- D.T. Pham
    3. Contrast functions -- E. Moreau and P. Comon
    4. Likelihood -- J.-F. Cardoso
    5. Algebraic methods after prewhitening -- L. De Lathauwer
    6. Iterative algorithms -- V. Zarzoso and A. Hyvarinen
    7. Second order methods based on color -- A. Yeredor
    8. Convolutive mixtures -- M. Castella, A. Chevreuil, and J.-C. Pesquet
    9. Algebraic identification of under-determined mixtures -- P. Comon and L. De Lathauwer
    10. Sparse component analysis -- R. Gribonval and M. Zibulesvki
    11. Quadratic time-frequency domain methods -- N. Thirion-Moreau and M. Amin
    12. Bayesian approaches -- A. Mohammad-Djafari and K.H. Knuth
    13. Non-negative mixtures -- M.D. Plumbley, A. Cichocki, and R. Bro
    14. Nonlinear mixtures -- C. Jutten, M. Babaie-Zadeh, and J. Karhunen
    15. Semi-blind methods for communications -- V. Zarzoso, P. Comon, and D. Slock
    16. Overview of source separation applications -- Y. Deville, C. Jutten, and R. Vigario
    17. Application to telecommunications -- P. Chevalier and A. Chevreuil
    18. Biomedical applications -- L. Albera, P.Comon, L.C. Parra, A. Karfoul, A. Kachenoura, and L. Senhadji
    19. Audio applications --  E.Vincent and Y. Deville


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